{"title":"Dynamic derivative-based pension investment with stochastic volatility: A behavioral perspective","authors":"Zheng Chen , Zhongfei Li , Yan Zeng , Yang Shen","doi":"10.1016/j.insmatheco.2025.103158","DOIUrl":null,"url":null,"abstract":"<div><div>We study a derivative-based optimal investment strategy for a defined contribution (DC) pension plan under the Heston stochastic volatility model. The investor's preferences are described by an S-shaped utility that combines risk-seeking and loss-averse behaviors, benchmarked to a reference point of retirement savings. By the martingale approach and the inverse Fourier transform method, we obtain a semi-analytical form for the optimal investment strategy. We investigate the distinct roles of various factors, such as preferences, wealth goals, market conditions, in the investor's optimal decision, and clarify the dynamic relationship between these factors and derivatives trading. We also provide comprehensive comparisons between the results derived under prospect theory and expected utility theory. A portfolio decomposition validates that the optimal derivatives trading strategy is influenced by both psychological and risk-averse factors. Numerical illustrations are provided to further elaborate our results.</div></div>","PeriodicalId":54974,"journal":{"name":"Insurance Mathematics & Economics","volume":"125 ","pages":"Article 103158"},"PeriodicalIF":2.2000,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Insurance Mathematics & Economics","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0167668725001052","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
We study a derivative-based optimal investment strategy for a defined contribution (DC) pension plan under the Heston stochastic volatility model. The investor's preferences are described by an S-shaped utility that combines risk-seeking and loss-averse behaviors, benchmarked to a reference point of retirement savings. By the martingale approach and the inverse Fourier transform method, we obtain a semi-analytical form for the optimal investment strategy. We investigate the distinct roles of various factors, such as preferences, wealth goals, market conditions, in the investor's optimal decision, and clarify the dynamic relationship between these factors and derivatives trading. We also provide comprehensive comparisons between the results derived under prospect theory and expected utility theory. A portfolio decomposition validates that the optimal derivatives trading strategy is influenced by both psychological and risk-averse factors. Numerical illustrations are provided to further elaborate our results.
期刊介绍:
Insurance: Mathematics and Economics publishes leading research spanning all fields of actuarial science research. It appears six times per year and is the largest journal in actuarial science research around the world.
Insurance: Mathematics and Economics is an international academic journal that aims to strengthen the communication between individuals and groups who develop and apply research results in actuarial science. The journal feels a particular obligation to facilitate closer cooperation between those who conduct research in insurance mathematics and quantitative insurance economics, and practicing actuaries who are interested in the implementation of the results. To this purpose, Insurance: Mathematics and Economics publishes high-quality articles of broad international interest, concerned with either the theory of insurance mathematics and quantitative insurance economics or the inventive application of it, including empirical or experimental results. Articles that combine several of these aspects are particularly considered.